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The recently proposed Neighborhood-extending and Noise-smoothing Gradient Vector Flow (NNGVF) provides a better segmentation to images than the GVF in terms of noise resistance, weak edges preservation. However, the NNGVF snake still has difficulties converging into long, thin boundary indentations. In this paper, we propose a novel external force for active contour models named NNGGVF which is a...
This paper proposes a recognition based approach to handwritten numeral string segmentation. We consider two classes: numeral strings segmented correctly or not. The feature vectors containing recognition information for numeral strings segmented correctly are assumed to be of the distribution of Gaussian mixture model (GMM). Based on this modeling, the recognition based segmentation is solved under...
A new method of affine object recognition and affine parameters estimation is presented. For a real-time image and a group of templates, firstly, we segment the object regions in them and compute their covariant matrices. Secondly, normalize the ellipse regions defined by covariant matrices to circle regions to get rotational invariants, and compute the similarity function value between rotational...
Image segmentation is the first essential and important step of low level vision. This paper proposes a novel algorithm for adaptive image segmentation, based on thresholding technique and segments merging according to their characteristics combine with spatial position. Our earlier work of getting the entire information of the histogram could help choose the multiple thresholds. However, not all...
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